Deep Learning for Photoacoustic Tomography from Sparse Data

15 April 2017

Papers citing "Deep Learning for Photoacoustic Tomography from Sparse Data"

42 / 42 papers shown

Title
Stability Bounds for the Unfolded Forward-Backward Algorithm Émilie Chouzenoux Cecile Della Valle J. Pesquet 26 0 0 23 Dec 2024
Design, Implementation and Analysis of a Compressed Sensing Photoacoustic Projection Imaging System Markus Haltmeier Matthias Ye Karoline Felbermayer Florian Hinterleitner P. Burgholzer 19 1 0 24 Feb 2024
Learning end-to-end inversion of circular Radon transforms in the partial radial setup Deep Ray Souvik Roy 11 0 0 27 Aug 2023
Moving beyond simulation: data-driven quantitative photoacoustic imaging using tissue-mimicking phantoms J. Gröhl Thomas R. Else Lina Hacker Ellie V. Bunce P. Sweeney S. Bohndiek OOD MedIm 9 13 0 11 Jun 2023
Cross-domain Self-supervised Framework for Photoacoustic Computed Tomography Image Reconstruction Hengrong Lan Lijie Huang Zhiqiang Li Jing Lv Jianwen Luo ViT OOD 24 1 0 17 Jan 2023
Differentiable Uncalibrated Imaging Sidharth Gupta K. Kothari Valentin Debarnot Ivan Dokmanić MedIm 19 4 0 18 Nov 2022
On Learning the Invisible in Photoacoustic Tomography with Flat Directionally Sensitive Detector Bolin Pan M. Betcke 13 2 0 21 Apr 2022
Survey of Deep Learning Methods for Inverse Problems S. Kamyab Zihreh Azimifar Rasool Sabzi Paul Fieguth 14 3 0 07 Nov 2021
Fourier Neural Operator Networks: A Fast and General Solver for the Photoacoustic Wave Equation Steven Guan Ko-Tsung Hsu P. Chitnis 20 25 0 20 Aug 2021
Compressed Sensing for Photoacoustic Computed Tomography Using an Untrained Neural Network Hengrong Lan Juze Zhang Changchun Yang Fei Gao 11 1 0 29 May 2021
Dense Dilated UNet: Deep Learning for 3D Photoacoustic Tomography Image Reconstruction Steven Guan Ko-Tsung Hsu Matthias Eyassu P. Chitnis MedIm 22 17 0 07 Apr 2021
On hallucinations in tomographic image reconstruction Sayantan Bhadra Varun A. Kelkar F. Brooks M. Anastasio 17 98 0 01 Dec 2020
Deep learning for biomedical photoacoustic imaging: A review J. Gröhl Melanie Schellenberg Kris K. Dreher Lena Maier-Hein 23 191 0 05 Nov 2020
Deep Learning in Photoacoustic Tomography: Current approaches and future directions A. Hauptmann B. Cox 15 130 0 16 Sep 2020
Deep learning for photoacoustic imaging: a survey Changchun Yang Hengrong Lan Feng Gao Fei Gao VLM MedIm 6 21 0 10 Aug 2020
Deep-Learning based Inverse Modeling Approaches: A Subsurface Flow Example Nanzhe Wang Haibin Chang Dongxiao Zhang AI4CE 15 57 0 28 Jul 2020
Photoacoustic Microscopy with Sparse Data Enabled by Convolutional Neural Networks for Fast Imaging Jiasheng Zhou Da He Xiaoyu Shang Zhendong Guo Sung-Liang Chen Jiajia Luo 12 5 0 08 Jun 2020
Reconstructing undersampled photoacoustic microscopy images using deep learning Anthony DiSpirito Daiwei Li Tri Vu Maomao Chen D. Zhang Jianwen Luo R. Horstmeyer Junjie Yao 6 92 0 30 May 2020
On Learned Operator Correction in Inverse Problems Sebastian Lunz A. Hauptmann T. Tarvainen Carola-Bibiane Schönlieb Simon Arridge 4 3 0 14 May 2020
Deep Learning Improves Contrast in Low-Fluence Photoacoustic Imaging A. Hariri Kamran Alipour Yash Mantri J. Schulze J. Jokerst 22 64 0 19 Apr 2020
A Two-step-training Deep Learning Framework for Real-time Computational Imaging without Physics Priors Ruibo Shang Kevin Hoffer-Hawlik Geoffrey P. Luke 9 14 0 10 Jan 2020
Deep learning architectures for nonlinear operator functions and nonlinear inverse problems Maarten V. de Hoop Matti Lassas C. Wong 17 25 0 23 Dec 2019
Limited View and Sparse Photoacoustic Tomography for Neuroimaging with Deep Learning Steven Guan Amir A. Khan S. Sikdar P. Chitnis 19 92 0 11 Nov 2019
Optimizing electrode positions in 2D Electrical Impedance Tomography using deep learning D. Smyl Dong Liu 19 34 0 21 Oct 2019
Augmented NETT Regularization of Inverse Problems D. Obmann Linh V. Nguyen Johannes Schwab Markus Haltmeier 11 3 0 08 Aug 2019
Simultaneous reconstruction of the initial pressure and sound speed in photoacoustic tomography using a deep-learning approach Hongming Shan Christopher Wiedeman Ge Wang Yang Yang 13 25 0 23 Jul 2019
Fast Enhanced CT Metal Artifact Reduction using Data Domain Deep Learning Muhammad Usman Ghani W. C. Karl MedIm OOD 14 2 0 09 Apr 2019
Machine Friendly Machine Learning: Interpretation of Computed Tomography Without Image Reconstruction Hyunkwang Lee Chao Huang Sehyo Yune Shahein H. Tajmir Myeongchan Kim Synho Do OOD 11 46 0 03 Dec 2018
Beltrami-Net: Domain Independent Deep D-bar Learning for Absolute Imaging with Electrical Impedance Tomography (a-EIT) S. Hamilton A. Hänninen A. Hauptmann V. Kolehmainen 19 63 0 30 Nov 2018
Networks for Nonlinear Diffusion Problems in Imaging Simon Arridge A. Hauptmann DiffM MedIm 6 18 0 29 Nov 2018
Fully Dense UNet for 2D Sparse Photoacoustic Tomography Artifact Removal Steven Guan Amir A. Khan S. Sikdar P. Chitnis 23 404 0 31 Aug 2018
Random mesh projectors for inverse problems Sidharth Gupta K. Kothari Maarten V. de Hoop Ivan Dokmanić 23 15 0 29 May 2018
NETT: Solving Inverse Problems with Deep Neural Networks Housen Li Johannes Schwab Stephan Antholzer Markus Haltmeier 19 238 0 28 Feb 2018
A Mathematical Framework for Deep Learning in Elastic Source Imaging J. Yoo Abdul Wahab J. C. Ye 6 8 0 27 Feb 2018
Deep learning enhanced mobile-phone microscopy Y. Rivenson H. Koydemir Hongda Wang Zhensong Wei Z. Ren ... Yibo Zhang Z. Gorocs Kyle Liang Derek K. Tseng Aydogan Ozcan MedIm 13 163 0 12 Dec 2017
Deep D-bar: Real time Electrical Impedance Tomography Imaging with Deep Neural Networks S. Hamilton A. Hauptmann 37 253 0 08 Nov 2017
CNN-Based Projected Gradient Descent for Consistent Image Reconstruction Harshit Gupta Kyong Hwan Jin H. Nguyen Michael T. McCann M. Unser 3DV 25 361 0 06 Sep 2017
Deep Learning-Guided Image Reconstruction from Incomplete Data B. Kelly Thomas P. Matthews M. Anastasio 12 54 0 02 Sep 2017
Model based learning for accelerated, limited-view 3D photoacoustic tomography A. Hauptmann F. Lucka M. Betcke N. Huynh J. Adler B. Cox P. Beard Sebastien Ourselin Simon Arridge MedIm 6 287 0 31 Aug 2017
Context encoding enables machine learning-based quantitative photoacoustics Thomas Kirchner J. Gröhl Lena Maier-Hein 8 62 0 12 Jun 2017
Phase recovery and holographic image reconstruction using deep learning in neural networks Y. Rivenson Yibo Zhang H. Gunaydin Da Teng Aydogan Ozcan 11 814 0 10 May 2017
A Survey on Deep Learning in Medical Image Analysis G. Litjens Thijs Kooi B. Bejnordi A. Setio F. Ciompi Mohsen Ghafoorian Jeroen van der Laak Bram van Ginneken C. I. Sánchez OOD 283 10,613 0 19 Feb 2017